code: def create_example_settings():
      event_config = EventSievesConfiguration()
      event_config.sieves_order = [
          (RelationType.SAME_HEAD_LEMMA, 1.0),
          (RelationType.WIKIPEDIA_DISAMBIGUATION, 0.1),
          (RelationType.WORD_EMBEDDING_MATCH, 0.7),
      ]
  
      entity_config = EntitySievesConfiguration()
      entity_config.sieves_order = [
          (RelationType.SAME_HEAD_LEMMA, 1.0),
          (RelationType.WIKIPEDIA_REDIRECT_LINK, 0.1),
          (RelationType.WIKIPEDIA_DISAMBIGUATION, 0.1),
          (RelationType.WORD_EMBEDDING_MATCH, 0.7),
          (RelationType.REFERENT_DICT, 0.5),
      ]
  
      # CDCResources hold default attribute values that might need to be change,
      # (using the defaults values in this example), use to configure attributes
      # such as resources files location, output directory, resources init methods and other.
      # check in class and see if any attributes require change in your set-up
      resource_location = SievesResources()
      return SievesContainerInitialization(
          event_config, entity_config, load_modules(resource_location)
      )
  
file_path: nlp-architect/examples/cross_doc_coref/cross_doc_coref_sieves.py
imports: import logging
  from typing import List
  from nlp_architect import LIBRARY_ROOT
  from nlp_architect.common.cdc.cluster import Clusters
  from nlp_architect.common.cdc.topics import Topics
  from nlp_architect.data.cdc_resources.relations.referent_dict_relation_extraction import ReferentDictRelationExtraction
  from nlp_architect.data.cdc_resources.relations.relation_types_enums import RelationType
  from nlp_architect.data.cdc_resources.relations.wikipedia_relation_extraction import WikipediaRelationExtraction
  from nlp_architect.data.cdc_resources.relations.word_embedding_relation_extraction import WordEmbeddingRelationExtraction
  from nlp_architect.models.cross_doc_coref.sieves_config import EventSievesConfiguration, EntitySievesConfiguration
  from nlp_architect.models.cross_doc_coref.sieves_resource import SievesResources
  from nlp_architect.models.cross_doc_coref.system.sieves_container_init import SievesContainerInitialization
  from nlp_architect.models.cross_doc_sieves import run_event_coref, run_entity_coref
label_desc: Use image node_id 3 for calling a global function with example usage: create_example_settings() and returns: SievesContainerInitialization